Solution Engineer II (AI/ML lead) - Arrow Electronics Recruitment 2026

Solution Engineer II (AI/ML lead)

Arrow Electronics

Job Overview

Role:	Solution Engineer II (AI/ML lead)
Location:	Noida, India
Employment Type:	Full Time / Permanent
Industry:	IT / Software / Core

Organization / Company Name

Arrow Electronics

(See full description for company details)

Important Dates

• Posted On: 05 February 2026
• Application Deadline: ASAP (Apply immediately)

Job Description

Position:

Solution Engineer II (AI/ML lead)

Job Description:

Principal Accountabilities

• Collaborate with teams to translate business requirements into technical specifications, system architecture, and ML pipelines.
• Drive end-to-end solution delivery — including data preparation, model development, optimization, validation, deployment, and continuous improvement.
• Provide technical guidance and mentorship to junior engineers and data scientists; review and refine their designs and code implementations.
• Develop reusable ML frameworks, model training workflows, and inference pipelines for rapid prototyping and deployment.
• Evaluate and integrate state-of-the-art AI/ML technologies to continuously improve model efficiency and system design.
• Respond to client RFQs and provide robust technical proposals and solution architectures.
• Partner cross-functionally with system engineers, embedded developers, and application teams for integrated AI system delivery.

Job Complexity & Impact

• Demonstrates expert-level depth across machine learning, system integration, and model optimization.
• Mentors ML teams with minimal supervision.
• Defines best practices for AI model lifecycle management and process improvements.
• Solves complex problems by combining innovative and existing methods to deliver production-grade AI solutions.
• Represents the level at which career may stabilize for many years or even until retirement

Work Responsibilities

• Mentor 2–5 member AI engineering team for full-cycle ML product development.
• Architect, implement, and optimize AI models for edge computing platforms ensuring high throughput, accuracy and low latency.
• Develop and benchmark AI model pipelines on NVIDIA Jetson (Nano & Xavier), Qualcomm Snapdragon 835 and i.MX8 platforms or any other constrained platform.
• To work on platforms like Snapdragon Neural Processing Engine (SNPE), FastCV, Halide, Deep stream etc. as per requirement.
• Collaborate closely with embedded and application teams to ensure successful AI system integration

Key Technical Competencies

• Deep Learning Frameworks: TensorFlow, PyTorch, ONNX, Keras, Caffe and TensorRT
• Computer Vision & Perception: Object detection, instance segmentation, depth estimation, pose estimation, activity recognition, image super-resolution, GANs.
• ML System Architecture: Designing scalable ML pipelines for training, validation, and inference on edge and cloud
• Hardware Acceleration & Optimization: CUDA, TensorRT, OpenCL and DeepStream.
• Edge & Embedded Platforms: NVIDIA Jetson (Nano/Xavier/Orin), Qualcomm Snapdragon, NXP i.MX8, Google Coral, Raspberry Pi
• Programming Expertise: Python, C++, Java (optional: Rust, Go)
• Data & Model Pipelines: Docker, Kubernetes for ML orchestration
• Deployment & Serving: Flask/FastAPI/Django for REST APIs, ONNX Runtime
• MLOps: CI/CD integration for ML (Git, Jenkins, Docker), versioning, reproducibility, and model governance
• Cloud AI Services: AWS Sagemaker, Azure ML (good to have)
• Familiarity with NVIDIA RTX and DGX platforms for training large models.

Required Qualifications

• B.Tech/M.Tech or Ph.D. in Computer Science, Electronics, or related engineering domain.
• Typically requires 8–12 years of equivalent work experience
• 3–5 years of experience in machine learning, deep learning, and computer vision
• Proven track record of designing and deploying ML-based systems from concept to production.
• Academic publications in computer vision research at top conferences and journals.
• Excellent communication, problem-solving, and presentation skills.

Location:

IN-UP-Noida, India-World Trade Tower (eInfochips)

Time Type:

Full time

Job Category:

Engineering Services

Educational Qualification

Candidates should possess a relevant degree (B.E/B.Tech, M.E/M.Tech, MCA, or equivalent) from a recognized university. Please refer to the specific requirements in the Job Description above.

Age Limit

As per company rules. Generally, candidates should be at least 18 years of age.

Salary / Pay Scale

Best in Industry / Not Disclosed by Company.

Application Fee

NIL (No application fee for private jobs).

Selection Process

• Resume Shortlisting
• Online Assessment / Technical Round
• HR Interview
• (Process may vary by company)

How to Apply

Interested and eligible candidates can apply online using the link provided below.

1. Click on the "Apply Now" link below.
2. You will be redirected to the official career page of Arrow Electronics.
3. Read the job details carefully.
4. Click on "Apply" and fill in the required details.
5. Submit your application.

Important Links

Apply Now (Official Link)

Important Instructions

• Read the full job description on the official site before applying.
• Ensure your resume is updated and matches the job requirements.
• Check your email regularly for updates after applying.

Disclaimer: This job posting is for information purposes only. We are not associated with Arrow Electronics directly. All applications are processed through the official company website. Do not pay any money to anyone for this job.